What is time-skipping in Temporal Python testing?

Time-skipping allows you to test workflows that would normally take weeks or months in just seconds by automatically advancing the test environment clock during workflow execution.

How does this skill help with workflow determinism?

It provides replay testing resources that allow you to validate your local workflow code against exported production history to ensure no non-deterministic changes were introduced.

Can I use this with my existing pytest setup?

Yes, the skill includes specific pytest fixtures and async configurations designed to integrate seamlessly with standard Python testing ecosystems.

When should I use integration tests versus unit tests?

This skill recommends using unit tests for isolating specific workflow logic and integration tests for testing the interaction between workers and mocked activities to simulate real-world execution paths.

Temporal Python Testing

Name: Temporal Python Testing
Author: HermeticOrmus

byHermeticOrmus

安全与测试

Streamlines testing for Temporal workflows and activities in Python using time-skipping, mocking, and determinism validation.

关于

This skill provides a comprehensive framework for testing Temporal workflows in Python, enabling developers to write high-quality unit and integration tests with ease. It leverages the Temporal SDK's time-skipping capabilities to accelerate long-running workflows, provides patterns for activity mocking to isolate business logic, and includes replay testing to ensure determinism before production deployment. Whether setting up local development environments or integrating into CI/CD pipelines, this skill guides users through achieving high test coverage and maintaining robust backend reliability.

主要功能

Async testing with pytest fixtures and time-skipping
Local Temporal server and Docker setup guidance
Automated CI/CD integration patterns
0 GitHub stars
Activity mocking and error injection strategies
Determinism validation via production history replay

使用场景

Testing workflows that span days or months in just seconds
Validating workflow determinism before production deployment
Isolating complex workflow logic by mocking external service activities

关于

主要功能

Async testing with pytest fixtures and time-skipping
Local Temporal server and Docker setup guidance
Automated CI/CD integration patterns
0 GitHub stars
Activity mocking and error injection strategies
Determinism validation via production history replay

使用场景

Testing workflows that span days or months in just seconds
Validating workflow determinism before production deployment
Isolating complex workflow logic by mocking external service activities